cff-version: 1.2.0 abstract: "Synthetically generated affordance dataset consisting of 3237 images with pixel-level annotations for either graspable or pushable affordance classes. Further, 204 annotated real images of similar scenarios are included.
Images contain retail store related objects lying of supermarket floors, together with a semantic masks differentiating the object from the background.
" authors: - family-names: van Houtum given-names: Paul orcid: "https://orcid.org/0000-0002-1431-5965" title: "Retail Objects Affordance Dataset, underlying the MSc thesis: Object Affordance Detection for Mobile Manipulation in Retail Environments" keywords: version: 1 identifiers: - type: doi value: 10.4121/14557965.v1 license: CC0 date-released: 2021-05-11